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Advances in Neural Computation, Machine Learning, and Cognitive Research : Selected Papers from the XIX International Conference on Neuroinformatics, October 2-6, 2017, Moscow, Russia / / edited by Boris Kryzhanovsky, Witali Dunin-Barkowski, Vladimir Redko
Advances in Neural Computation, Machine Learning, and Cognitive Research : Selected Papers from the XIX International Conference on Neuroinformatics, October 2-6, 2017, Moscow, Russia / / edited by Boris Kryzhanovsky, Witali Dunin-Barkowski, Vladimir Redko
Edizione [1st ed. 2018.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Descrizione fisica 1 online resource (XV, 199 p. 60 illus.)
Disciplina 612.8
Collana Studies in Computational Intelligence
Soggetto topico Computational intelligence
Artificial intelligence
Biophysics
Computer simulation
Bioinformatics
Computational Intelligence
Artificial Intelligence
Computer Modelling
Computational and Systems Biology
ISBN 3-319-66604-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Organization -- Editorial Board -- Advisory Board -- Program Committee of the XIX International Conference "Neuroinformatics-2017" -- General Chair -- Co-chairs -- Program Committee -- Contents -- Neural Network Theory -- The Analysis of Regularization in Deep Neural Networks Using Metagraph Approach -- Abstract -- 1 Introduction -- 2 Description of the Used Neural Network -- 3 Regularization of Deep Neural Networks -- 4 Regularization Representation Using Metagraph Approach -- 5 Experiments -- 6 Conclusion -- References -- Adding Noise During Training as a Method to Increase Resilience of Neural Network Solution of Invers ... -- Abstract -- 1 Introduction -- 2 The Initial Data and the Statement of the IP of MTS -- 3 Description of the Noise -- 4 The Use of Artificial Neural Networks -- 5 Results -- 6 Conclusion -- Acknowledgement -- References -- Multi-Layer Solution of Heat Equation -- 1 Introduction -- 2 Model Problem -- 3 Calculations -- 4 Conclusions -- References -- Implementation of a Gate Neural Network Based on Combinatorial Logic Elements -- Abstract -- 1 Introduction -- 2 Model of the Gate Neural Network -- 3 Network Learning Algorithm -- 4 Analysis of the Results -- 5 Conclusion -- References -- Adaptive Gateway Element Based on a Recurrent Neurodynamical Model -- 1 Introduction -- 2 Neuron Model -- 3 Gateway Model -- 4 Conclusions -- References -- Common Sense Knowledge in Large Scale Neural Conversational Models -- Abstract -- 1 Introduction -- 2 Methods and Algorithms -- 2.1 Datasets -- 2.2 Neural Network Architectures -- 2.3 Word Vectors -- 3 Results and Discussion -- 3.1 Reply Selection Accuracies -- 3.2 Factoid Answer Selection from Alternatives -- 3.3 Common Sense Questions -- 4 Conclusions -- References -- Applications of Neural Networks -- Prospects for the Development of Neuromorphic Systems -- Abstract.
1 Introduction -- 2 Overview of Deep Neural Network Architectures -- 3 Neuron Models -- 4 Discussion -- References -- Pulse Neuron Learning Rules for Processing of Dynamical Variables Encoded by Pulse Trains -- Abstract -- 1 Introduction -- 2 Problem Formulation -- 3 Temporal Learning Rules of the Pulse Neuron -- 4 Computer Simulation -- 5 Conclusions -- References -- Information Environment for Neural-Network Adaptive Control System -- Abstract -- 1 Introduction -- 2 Analysis of the Structure of a Digital Neural Network Control System Based on the Universal Computer -- 3 Implementation of Phases of the Control Cycle of the Neural Network System -- 4 A Coherent Information Environment Model for Neural-Network Control System -- 5 Conclusion -- References -- Neural Network Semi-empirical Modeling of the Longitudinal Motion for Maneuverable Aircraft and Identification of Its Aerodynamic Characteristics -- 1 Introduction -- 2 Mathematical Model of Longitudinal Motion for Maneuverable Aircraft -- 3 Generation of a Representative Set of Training Data -- 4 Semi-empirical Neural Network Model of Aircraft Longitudinal Motion -- 5 Conclusions -- References -- Dump Truck Fault's Short-Term Forecasting Based on the Multi-agent Adaptive Fuzzy Neuronet -- 1 Introduction -- 2 The Multi-agent Adaptive Fuzzy Neuronet for Dump Truck Fault's Short-Term Forecasts -- 2.1 The Training Algorithms of the Multi-agent Adaptive Fuzzy Neuronet -- 2.2 The Multi-agent Adaptive Fuzzy Neuronet -- 3 Results -- References -- Object Detection on Images in Docking Tasks Using Deep Neural Networks -- Abstract -- 1 Introduction -- 1.1 Relevance of the Problem -- 1.2 Statement of the Problem -- 2 Description of Chosen Systems -- 2.1 Structure of the Faster R-CNN -- 2.2 Learning of Faster R-CNN -- 3 Experimental Researches -- 4 Conclusions -- References.
Detection of Neurons on Images of the Histological Slices Using Convolutional Neural Network -- Abstract -- 1 Introduction -- 2 Methods -- 3 Results -- 4 Conclusions -- Acknowledgements -- References -- Constructing a Neural-Net Model of Network Traffic Using the Topologic Analysis of Its Time Series Complexity -- Abstract -- 1 Introduction -- 2 The Topological Data Analysis -- 3 Setting the Problem -- 4 Topological Invariants Calculated for a Traffic Intensity Sequence -- 5 Building the Neural-Net Model of the Data -- 6 Conclusions -- References -- Texture Recognition from Positions of the Theory of Active Perceptions -- 1 Introduction -- 2 Using TAP in Image Recognition -- 3 Formation of Feature Description of a Textured Image -- 4 Computational Experiment -- 5 Conclusion -- References -- Method of Calculation of Upper Bound of Learning Rate for Neural Tuner to Control DC Drive -- Abstract -- 1 Introduction -- 2 Definition of the Tuner and Problem Statement -- 3 Stability of the Control System -- 4 Upper Bound of Learning Rate Calculation -- 5 Experimental Results -- 6 Conclusion -- Acknowledgments -- References -- Intelligent Diagnostics of Mechatronic System Components of Career Excavators in Operation -- Abstract -- 1 Introduction -- 2 The Organization of the Intelligent Diagnostics of Mechatronic Complex Components -- 3 Neural Network for Data Processing -- 4 Practical Implementation of Algorithms in the Diagnostic System -- 5 Conclusion -- References -- Emotion Recognition in Sound -- Abstract -- 1 Introduction -- 2 Materials and Methods -- 3 Examined Approach -- 4 Conclusions and Directions for Further Work -- Acknowledgments -- References -- The Classification of Objects Based on a Model of Perception -- Abstract -- 1 Introduction -- 2 Theoretical Problems -- 2.1 Statement of the Problem -- 2.2 Initial Stages of Information Transformation.
2.3 Compression of Information by Granulation -- 2.4 Classification of Objects as a Prototype Search -- 3 Properties of the Model -- 4 Conclusion -- References -- An Approach to Use Convolutional Neural Network Features in Eye-Brain-Computer-Interface -- Abstract -- 1 Introduction -- 2 Problem Statement -- 3 Representation of the EEG Signals as Images -- 4 Quality of Features Generated by the Convolutional Neural Network -- 5 Conclusions -- Acknowledgements -- References -- Semi-empirical Neural Network Model of Real Thread Sagging -- Abstract -- 1 Introduction -- 2 Semi-empirical Model of a Sagging Thread. Methods -- 3 Calculation -- 4 Conclusions -- References -- Cognitive Sciences and Adaptive Behavior -- Color or Luminance Contrast -- What Is More Important for Vision? -- 1 Introduction -- 2 Contrast of a Color Image -- 3 Color Analog of Rayleigh Criterion -- 4 Conclusion -- References -- Synchrony of Cortical Alpha and Beta Oscillations -- Abstract -- 1 Introduction -- 2 Materials and Methods -- 3 Results -- 4 Conclusions -- Acknowledgments -- References -- Processes of Self-organization in the Community of Investors and Producers -- Abstract -- 1 Introduction -- 2 Description of the Model -- 2.1 General Scheme of the Model -- 2.2 Description of the Iterative Process -- 3 Results of Computer Simulation -- 4 Conclusion -- Acknowledgments -- References -- Neurobiology -- Complexity of Heart Rate During More and Less Differentiated Behaviors -- Abstract -- 1 Introduction -- 2 Materials and Methods -- 3 Results -- 4 Conclusion -- Acknowledgments -- References -- Comparison of Some Fractal Analysis Methods for Studying the Spontaneous Activity in Medullar Audito ... -- Abstract -- 1 Introduction -- 2 Methods -- 2.1 Electrophysiological Recording of the Background Firing -- 2.2 Data Processing -- 3 Conclusion -- References.
Synapse as a Multi-component and Multi-level Information System -- Abstract -- 1 Introduction -- 2 The Own Goals of the Individual Neuron -- 3 The Functional Systems of the Neuron Involved in Synaptic Modulations in the Early Phase of LTP -- 4 Conclusion -- Acknowledgements -- References -- Effect of Persistent Sodium Current on Neuronal Activity -- Abstract -- 1 Introduction -- 2 Methods -- 2.1 Experiment -- 2.2 Analysis of Experimental Data -- 2.3 Hodgkin-Huxley-like Model of a Neuron -- 3 Results -- 3.1 Dynamic-Clamp Study of the Influence of NaP Current -- 3.2 Effect of Persistent-Sodium Current in a Modeled Neuron -- 4 Conclusion -- Acknowledgments -- References.
Record Nr. UNINA-9910299885803321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
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Advances in Neural Computation, Machine Learning, and Cognitive Research II : Selected Papers from the XX International Conference on Neuroinformatics, October 8-12, 2018, Moscow, Russia / / edited by Boris Kryzhanovsky, Witali Dunin-Barkowski, Vladimir Redko, Yury Tiumentsev
Advances in Neural Computation, Machine Learning, and Cognitive Research II : Selected Papers from the XX International Conference on Neuroinformatics, October 8-12, 2018, Moscow, Russia / / edited by Boris Kryzhanovsky, Witali Dunin-Barkowski, Vladimir Redko, Yury Tiumentsev
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Descrizione fisica 1 online resource (XVII, 344 p. 121 illus.)
Disciplina 006.32
Collana Studies in Computational Intelligence
Soggetto topico Computational intelligence
Graph theory
Control engineering
Artificial intelligence
Bioinformatics
Computational Intelligence
Graph Theory
Control and Systems Theory
Artificial Intelligence
Computational and Systems Biology
ISBN 3-030-01328-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910483077703321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
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Advances in Neural Computation, Machine Learning, and Cognitive Research III : Selected Papers from the XXI International Conference on Neuroinformatics, October 7-11, 2019, Dolgoprudny, Moscow Region, Russia / / edited by Boris Kryzhanovsky, Witali Dunin-Barkowski, Vladimir Redko, Yury Tiumentsev
Advances in Neural Computation, Machine Learning, and Cognitive Research III : Selected Papers from the XXI International Conference on Neuroinformatics, October 7-11, 2019, Dolgoprudny, Moscow Region, Russia / / edited by Boris Kryzhanovsky, Witali Dunin-Barkowski, Vladimir Redko, Yury Tiumentsev
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (XVII, 428 p. 210 illus., 120 illus. in color.)
Disciplina 006.32
Collana Studies in Computational Intelligence
Soggetto topico Computational intelligence
Computer vision
Control engineering
Robotics
Automation
Artificial intelligence
Bioinformatics
Computational Intelligence
Computer Vision
Control, Robotics, Automation
Artificial Intelligence
Computational and Systems Biology
ISBN 3-030-30425-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Preface -- Part I: Invited Papers -- Chapter 1. Deep Learning a Single Photo Voxel Model Prediction from Real and Synthetic Images -- Chapter 2. Tensor Train Neural Networks in Retail Operations -- Chapter 3. Semi-Empirical Neural Network Based Modeling and Identification of Controlled Dynamical Systems, etc.
Record Nr. UNINA-9910483052803321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
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Advances in Neural Computation, Machine Learning, and Cognitive Research V : Selected Papers from the XXIII International Conference on Neuroinformatics, October 18-22, 2021, Moscow, Russia
Advances in Neural Computation, Machine Learning, and Cognitive Research V : Selected Papers from the XXIII International Conference on Neuroinformatics, October 18-22, 2021, Moscow, Russia
Autore Kryzhanovsky Boris
Pubbl/distr/stampa Cham : , : Springer International Publishing AG, , 2022
Descrizione fisica 1 online resource (365 pages)
Altri autori (Persone) Dunin-BarkowskiWitali
RedkoVladimir
TiumentsevYury
KlimovValentin V
Collana Studies in Computational Intelligence Ser.
Soggetto genere / forma Electronic books.
ISBN 9783030915810
9783030915803
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910510533903321
Kryzhanovsky Boris  
Cham : , : Springer International Publishing AG, , 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Advances in Neural Computation, Machine Learning, and Cognitive Research VII : Selected Papers from the XXV International Conference on Neuroinformatics, October 23-27, 2023, Moscow, Russia
Advances in Neural Computation, Machine Learning, and Cognitive Research VII : Selected Papers from the XXV International Conference on Neuroinformatics, October 23-27, 2023, Moscow, Russia
Autore Kryzhanovsky Boris
Edizione [1st ed.]
Pubbl/distr/stampa Cham : , : Springer, , 2023
Descrizione fisica 1 online resource (505 pages)
Altri autori (Persone) Dunin-BarkowskiWitali
RedkoVladimir
TiumentsevYury
KlimovValentin
Collana Studies in Computational Intelligence Series
ISBN 3-031-44865-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Organization -- Contents -- Neuroinformatics and Artificial Intelligence -- Evolution of Efficient Symbolic Communication Codes -- 1 Introduction -- 2 Approach -- 2.1 Tokenization or Word-Level Text Segmentation -- 2.2 Morphological Parsing or Subword-Level Text Segmentation -- 3 Results -- 3.1 Tokenization or Word-Level Text Segmentation -- 3.2 Morphological Parsing or Subword-Level Text Segmentation -- 4 Conclusions -- References -- Solving the Problem of Diagnosing a Disease by ECG on the PTB-XL Dataset Using Deep Learning -- 1 Introduction -- 2 Data and Methods -- 2.1 PTB-XL Data Set -- 2.2 Time Series Classification Algorithms -- 2.3 Multilabel Classification Metrics -- 3 Experimental Results -- 3.1 Description of the Task -- 3.2 The Ensemble with the Best Predictive Power -- 3.3 Experimental Details -- 4 Conclusions -- References -- Zero-Shot NER via Extractive Question Answering -- 1 Introduction -- 2 Related Work -- 2.1 Extractive Question Answering -- 2.2 Zero-Shot NER via Extractive QA -- 3 Datasets -- 4 Experimental Setup -- 5 Results -- 6 Conclusion -- References -- TreeCurveNet - An improved CurveNet for Tree Species Classification -- 1 Introduction -- 2 Related works -- 3 Methods -- 4 Experiements -- 5 Conclusion -- References -- Dialogue Graphs: Enhancing Response Selection Through Target Node Separation -- 1 Introduction -- 2 Related Work -- 3 Datasets -- 4 Response Selection -- 4.1 Embedders -- 4.2 Non-graph Models -- 4.3 Graph Models -- 4.4 Metrics -- 5 Experiments -- 5.1 Setup -- 5.2 Dialogue Graph and Dialogue Graph with TNS -- 5.3 Optimal Cluster Count on MultiWoZ -- 5.4 Consecutive Utterance Embedding for Enhanced Clustering -- 6 Results and Discussion -- 7 Conclusion -- A Appenix -- A.1 Description of Datasets -- A.2 Edge Clustering -- A.3 Performance on All Datasets -- References.
Research Methods for Fake News Detection in Bangla Text -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 4 Result Analysis -- 5 Conclusions -- References -- On the Question of the Dynamic Theory of Intelligence -- 1 Introduction -- 2 Basic Concepts and Models of Complex Systems -- 3 Dynamic System -- 4 Symbolic Dynamics -- 5 Metagraph Models and Information -- 6 Conclusions -- 7 Definition of the Concept of "Intelligence" -- References -- Offline Deep Reinforcement Learning for Robotic Arm Control in the ManiSkill Environment -- 1 Introduction -- 2 Related Work -- 3 Method -- 4 Experiments -- 4.1 Experimental Results -- 4.2 Experiment Analysis -- 5 Conclusion -- References -- Neuromorphic Computing and Deep Learning -- Spiking Neural Network with Tetrapartite Synapse -- 1 Introduction -- 2 The Model -- 2.1 Neuron Model -- 2.2 Astrocyte Model -- 2.3 Extracellular Matrix Model -- 2.4 Spiking Neural Network -- 2.5 Results -- 3 Conclusion -- References -- SAMDIT: Systematic Study of Adding Memory to Divided Input in the Transformer to Process Long Documents -- 1 Introduction -- 2 Positional Encoding for Long Documents -- 3 The Proposed Approach -- 4 Datasets -- 5 Experiments Setup -- 6 Results and Discussion -- 7 Conclusion -- References -- Towards Solving Classification Tasks Using Spiking Neurons with Fixed Weights -- 1 Introduction -- 2 Datasets -- 3 Input Preprocessing -- 4 Spiking Neuron Layer Setup -- 5 Neuron Model -- 6 Experiments -- 7 Results -- 8 Conclusions -- References -- A Spiking Neuron Synaptic Plasticity Model Optimized for Unsupervised Learning -- 1 Introduction -- 2 Unsupervised Learning in Spiking Domain -- 3 The Algorithm SCoBUL - Network, Neuron, Synaptic Plasticity -- 3.1 Synaptic Resource -- 3.2 Unconditional Synapse Depression -- 3.3 Constant Symmetric STDP -- 3.4 Suppression of Strong Inactive Synapses.
3.5 Constant Total Synaptic Resource -- 4 Experimental Comparison of STDP and SCoBUL Plasticity Rules on an Imitated DVS Signal -- 5 Conclusion -- References -- Centre-Lateral Threshold Filtering as a Method for Neuromorphic Data Coding -- 1 Introduction -- 2 Image Representation by a Sample of Counts and Its Encoding with a of Receptive Field-Like Components -- 3 Centre-Lateral Threshold Filtering Based on the Partition of Sampling Representation by a System of Receptive Fields -- 4 Conclusions -- References -- Neural Networks and Cognitive Sciences -- Permanent Sharp Switches in Brain Waves During Spoken Word Recognition -- 1 Introduction -- 2 Methods -- 3 Results: Sharp Changes of the Signal Time Course -- 4 Discussion -- References -- Cognitive Neuro-Fuzzy Control Systems -- 1 Introduction -- 2 Cognitive Control of Robotic Devices -- 3 Neuro-Fuzzy Implementation of Cognitive Functions -- 4 Mobile Robot Control Experiments -- 5 Conclusion -- References -- Neurocognitive Processing of Attitude-Consistent and Attitude-Inconsistent Deepfakes: N400 Study -- 1 Introduction -- 2 Methodology -- 3 Results -- 4 Conclusion -- References -- Real-Time Movement-Related EEG Phenomena Detection for Portable BCI Devices. Neural Network Approach -- 1 Introduction -- 2 Methods -- 2.1 Experiment -- 2.2 Analysis -- 2.3 Models -- 3 Results -- 4 Conclusion -- References -- Recognition of Spoken Words from MEG Data Using Covariance Patterns -- 1 Introduction -- 2 Measurements -- 3 Data Analysis -- 4 Results -- 5 Discussion -- References -- Non-visual Eye-Movements Model During Performing Cognitive Tasks in Short-Term Memory -- 1 Introduction -- 2 Materials and Methods -- 3 Results and Discussion -- 4 Conclusion -- References.
Mechanisms for Contribution of Modifiable Inhibition to Increasing Signal-to-Noise Ratio and Contrasted Representations of Sensory Stimuli in the Neocortex -- 1 Introduction -- 2 Contribution of Modifiable Afferent Inhibition to Long-term Rise in the Signal-to-Noise Ratio -- 3 Contribution of Dopamine-Dependent Synaptic Modifications to the Generation of Contrasted Representations of Sensory Stimuli in the Neocortex -- 4 The Role of Various Neuromodulatory Mechanisms in the Shaping Contrasted Representation of a Sensory Stimulus in the Neocortex -- 5 Conclusions -- References -- A Photostimuli Presenting Device for Customized SSVEP-based Brain-Computer Interfaces -- 1 Introduction -- 2 Brain-Computer Interfaces Based on the SSVEP Paradigm -- 3 Photostimuli Presenting Device -- 4 The Results of Device Testing -- 5 Conclusion -- References -- Graph Neural Networks for Analysis of rs-fMRI Differences in Open vs Closed Conditions -- 1 Introduction -- 2 Data and Methods -- 3 Results -- 4 Conclusion and Discussion -- References -- Does a Recurrent Neural Network Form Recognizable Representations of a Fixed Event Series? -- 1 Introduction -- 2 Materials and Methods -- 3 Results and Discussion -- 4 Conclusion -- References -- Language Models Explain Recommendations Based on Meta-Information -- 1 Introduction -- 2 Related Work -- 3 Datasets -- 3.1 Movies Dataset -- 3.2 Books Dataset -- 3.3 Dishes Dataset -- 4 Methodology -- 4.1 Fine-Tuning LLMs to Generate Explanations -- 4.2 Explaining Collaborative Filtering Models -- 4.3 Domain Transfer -- 4.4 Prompting -- 5 Metrics -- 5.1 Score Based on the Same Tokens -- 5.2 Score Adding Points for Movie Tokens -- 5.3 Score with Penalties -- 6 Experiments -- 6.1 Fine-Tuning LLMs -- 6.2 Domain Transfer -- 7 Conclusion -- A Generation Examples -- References.
Analysis of Text Data Reliability Based on the Audience Reactions to the Message Source -- 1 Introduction -- 2 Data Structure and Analysis -- 3 Results -- 4 Discussion -- 5 Conclusion -- References -- Adaptive Behavior and Evolutionary Simulation -- Analysing Family of Pareto Front-Based Evolutionary Algorithms for PINNs: A Case Study of Solving the Laplace Equation with Discontinuous Boundary Conditions -- 1 Introduction -- 2 Materials and Methods -- 2.1 Problem Statement -- 2.2 General Neural Networks Approach (PINNs) -- 2.3 Family of Evolutionary Algorithms for PINN Training -- 3 Computational Experiments and Results -- 4 Conclusions and Discussion -- References -- Unawareness as a Cause of Determinism Violation. A Metaphoric Model -- 1 Introduction -- 2 The Basic Model -- 3 A Single Agent -- 4 Several Agents -- 5 Conclusion -- References -- The Variable Resistor Under a High-Frequency Signal -- 1 Introduction -- 2 Equations -- 3 Periodic Current Through the Resistor -- 4 Periodic Voltage Across the Resistor -- 5 Conclusions -- References -- Modeling of Natural Needs of Autonomous Agents -- 1 Introduction -- 2 Model Description -- 2.1 Motivations of Agents -- 2.2 Actions of Agents -- 3 Results of Computer Simulation -- 4 Conclusion -- References -- Study of Modifications of Gender Genetic Algorithm -- 1 Introduction -- 2 Modifications of Gender Genetic Algorithm -- 2.1 Conventional Genetic Algorithm -- 2.2 Gender Genetic Algorithm -- 2.3 Selection Operator Modification -- 2.4 Mutation Operator Modification -- 3 Computational Experiment -- 3.1 Test Optimization Problems -- 3.2 Evaluation Metrics -- 3.3 Statement of the Computational Experiment -- 4 Results -- 5 Conclusion -- References -- Modern Methods and Technologies in Neurobiology -- Mean-Field Model of Brain Rhythms Controlled by Glial Cells -- 1 Introduction -- 2 The Model -- 2.1 Results.
3 Conclusions.
Record Nr. UNINA-9910751390403321
Kryzhanovsky Boris  
Cham : , : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
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